Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Biocompatible memristive device based on an agarose@gold nanoparticle-nanocomposite layer obtained from nature for neuromorphic computingopen access

Authors
Kim, YoungjinAn, Jun SeopLee, DongheeRyu, Seong YeonHwang, Yoon-ChulKim, Dae HunKim, Tae Whan
Issue Date
Apr-2023
Publisher
Nature Research
Citation
Scientific Reports, v.13, no.1, pp.1 - 9
Indexed
SCIE
SCOPUS
Journal Title
Scientific Reports
Volume
13
Number
1
Start Page
1
End Page
9
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/193119
DOI
10.1038/s41598-023-32860-6
ISSN
2045-2322
Abstract
Natural, organic, materials-based artificial synaptic devices have been in the spotlight for wearable/flexible devices due to their lightweight, biocompatibility, and scalability. In this study, an electronic memristive device based on agarose extracted from plants in the Rhodophyceae class was fabricated, and its memory characteristics and analog data processing capabilities were evaluated. The Al/agarose@gold nanoparticle (AuNP) film/indium-tin-oxide (ITO)-structured memristive device exhibited reliable resistive switching characteristics with excellent retention with a large Ron/Roff ratio of 104. Also, analog conductance changes in our device were achieved with power consumption at the pJ level. This notable behavior could be maintained under mechanical deformations from a flat to a 4-mm bent state. In the recognition simulation based on the device's performance, an 91% accuracy and clear digit classification were achieved.
Files in This Item
Appears in
Collections
서울 공과대학 > 서울 융합전자공학부 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE